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Computational Ergodic Theory

Computational Ergodic Theory

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"Computational Ergodic Theory" by Geon Ho Choe is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society.

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Best For: Students and researchers in mathematics and physics who want to understand ergodic theory through computational methods.
Focus: Introducing ergodic theory concepts using computer experiments to complement theoretical understanding.
Covers: Examples and simulations that illustrate ergodic theory from a computational perspective.
Why It Matters: Helps learners grasp complex measure theory concepts by engaging with practical simulations, making the subject more accessible.

"Computational Ergodic Theory" by Geon Ho Choe is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Core Mathematics

Author: Geon Ho Choe

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

Ergodic theory is hard to study because it is based on measure theory, which is a technically difficult subject to master for ordinary students, especially for physics majors. Many of the examples are introduced from a different perspective than in other books and theoretical ideas can be gradually absorbed while doing computer experiments. Theoretically less prepared students can appreciate the deep theorems by doing various simulations. The computer experiments are simple but they have close ties with theoretical implications. Even the researchers in the field can benefit by checking their conjectures, which might have been regarded as unrealistic to be programmed easily, against numerical output using some of the ideas in the book. One last remark: The last chapter explains the relation between entropy and data compression, which belongs to information theory and not to ergodic theory. It will help students to gain an understanding of the digital technology that has shaped the modern information society.

AuthorGeon Ho Choe
PublisherSpringer
Published2010-10-21
ISBN-139783642062070
BindingPaperback
Pages453
LanguageEnglish
SubjectsMathematics
TopicCore Mathematics
SeriesAlgorithms and Computation in Mathematics

Format: Paperback

Length: 453 pages

Language: English

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